Building What Matters

A Strategic Guide to Product Management from Discovery to Scale

Introduction

Chapter 1: The Craft of Product Management

1. What Product Management Is Not
2. The Core Tension: Customer Needs Versus Business Constraints
3. Problems Over Features
4. Decision-Making Under Uncertainty
5. A Day in the Life of a Senior Product Manager
6. The Three Lenses: Customer, Business, Technology

Chapter 2: The Product Lifecycle as a System

1. Opportunity Sensing and Problem Identification
2. Discovery: Learning Before Building
3. Definition: Strategy and Planning
4. Delivery: Building and Releasing
5. Growth: Scaling and Optimizing
6. Sunset: Knowing When to Let Go
7. Feedback Loops That Make the System Work

Chapter 3: Understanding Your Customers Deeply

1. Why Most Customer Understanding Fails
2. Segmentation: Who Really Matters
3. Creating Useful Personas (and When to Skip Them)
4. Customer Interviews: Asking Questions That Reveal Truth
5. Ethnographic and Observational Research
6. Quantitative Research and Survey Design
7. Building a Continuous Research Practice

Chapter 4: Jobs-to-be-Done and Problem Definition

1. The Theory Behind Jobs-to-be-Done
2. Functional, Emotional, and Social Jobs
3. Conducting JTBD Discovery Interviews
4. Writing Job Stories That Drive Product Work
5. Problem Statements That Actually Help
6. Common JTBD Mistakes and Misuses
7. JTBD Versus Traditional Needs Analysis

Chapter 5: Market and Competitive Analysis

1. Sizing Markets Without Self-Deception
2. Mapping the Competitive Landscape
3. Competitive Analysis Frameworks That Work
4. Finding White Space and Adjacency Opportunities
5. Industry Trends and Weak Signals
6. When Competition Analysis Becomes Counterproductive
7. Porter, Blue Ocean, and Other Strategic Lenses

Chapter 6: Vision and Positioning

1. What Vision Actually Is (and Is Not)
2. Writing a Vision That Guides Decisions
3. Connecting Vision to Company Strategy
4. Positioning: The Promise You Make to Customers
5. Value Propositions That Resonate
6. Messaging Frameworks and the Positioning Statement
7. Updating Vision and Positioning as Markets Shift

Chapter 7: Product Strategy

1. Strategy Versus Vision Versus Goals Versus Roadmap
2. The Strategic Choice: Where to Play and How to Win
3. Strategic Bets and How to Evaluate Them
4. Platform Strategy, Ecosystem Strategy, and Wedge Strategy
5. When to Innovate, When to Improve, When to Defend
6. Common Strategy Failures
7. Communicating Strategy Across the Organization

Chapter 8: Product-Market Fit and Validation

1. Marc Andreessen Was Only Half Right
2. Signals and Metrics of Product-Market Fit
3. The Sean Ellis Test and Its Limitations
4. Validating Demand Before You Build
5. When You Know You Have PMF (and What to Do Next)
6. False Positives and the Illusion of Fit
7. Post-PMF: The Shift from Validation to Optimization

Chapter 9: Deciding What to Build

1. Sources of Ideas: Customers, Data, Competition, Vision
2. Evaluating Opportunity: Impact, Confidence, Effort
3. The RICE Framework and Alternatives
4. Opportunity Solution Trees
5. Avoiding the Boiling Frog and Feature Sprawl
6. Deciding What NOT to Build
7. Grouping Related Work into Themes

Chapter 10: Prioritization Under Real Constraints

1. Why Prioritization Is Harder Than Frameworks Suggest
2. Balancing Now, Next, and Later
3. Balancing Different Work Types: Features, Debt, Experiments, Maintenance
4. Handling Executive and Sales Requests
5. Customer Requests Versus Strategic Vision
6. The MoSCoW Method, Kano Model, and WSJF
7. Making Trade-Offs Explicit and Defensible

Chapter 11: MVP Design and Experimentation

1. What MVP Actually Means
2. Designing Learning Experiments, Not Half-Features
3. Prototyping: From Paper to Clickable to Code
4. A/B Testing: Design, Statistics, and Common Errors
5. The Build-Measure-Learn Loop in Practice
6. Experimentation Platforms and Culture
7. When Not to Experiment

Chapter 12: Roadmapping and Planning

1. What a Roadmap Should and Should Not Do
2. Outcome-Based Versus Output-Based Roadmaps
3. Time-Based, Now-Next-Later, and Theme-Based Formats
4. Rolling Planning and Adaptability
5. Involving the Right Stakeholders
6. Managing Commitments Without Losing Flexibility
7. Roadmapping for Different Organizations

Chapter 13: Working With Engineering

1. Product and Engineering: A Partnership, Not a Relationship
2. Product Requirements and User Stories That Engineers Appreciate
3. Understanding Technical Constraints and Trade-Offs
4. Technical Debt: Definition, Strategy, and Prioritization
5. Architecture and Scalability: How Much Should PMs Know
6. Velocity, Estimation, and Planning
7. Conflict Resolution Between Product and Engineering

Chapter 14: Working With Design and UX

1. The Product-Design Partnership
2. Design Thinking and Its Limits
3. User Experience: Beyond Pretty Interfaces
4. When to Design for Power Users Versus Novices
5. Design Systems and Product Consistency
6. Measuring Design Quality
7. Handling Design Conflicts

Chapter 15: Stakeholder Management and Alignment

1. Mapping Your Stakeholders
2. Understanding Incentives and Pressures
3. Selling Vision and Strategy
4. Managing Up: Working With Executives
5. Managing Peer Relationships: Sales, Marketing, Support
6. Difficult Conversations and Saying No
7. Creating Alignment Without Consensus

Chapter 16: Execution and Delivery

1. Incremental Delivery and Continuous Release
2. Sprint Planning and Release Planning
3. Scope Management and Creep Prevention
4. Quality and Product Acceptance Criteria
5. What to Do When Things Go Wrong
6. Managing Dependencies Across Teams
7. Execution Culture and Accountability

Chapter 17: Launch and Go-to-Market

1. Launch Is a Product Decision, Not Just Marketing
2. Staged Launches: From Internal to Beta to Public
3. Enabling Sales and Customer Success
4. Creating Launch Materials That Help
5. Launch Checklists and Timing
6. Post-Launch Support and Early Issue Management
7. Launch Case Studies

Chapter 18: Measurement and Analytics

1. Metrics That Matter: Outcome Over Output
2. Defining North Star Metrics
3. OKRs for Product Teams
4. Product Analytics: Setup and Common Pitfalls
5. Funnel Analysis and Cohort Analysis
6. Correlation Versus Causation
7. Building a Data-Driven Culture

Chapter 19: Retention, Growth, and Monetization

1. Retention Before Acquisition
2. Understanding and Reducing Churn
3. Engagement Loops and Habit Formation
4. Growth Loops and Viral Mechanics
5. Pricing Strategy and Packaging
6. Monetization Without Destroying the Product
7. Growth Stage Strategies: From 0 to 1 to 100

Chapter 20: Scaling Product and Organization

1. Scaling the Product: Architecture and Platform Decisions
2. Scaling the Team: Structure and Process
3. Managing Multiple Product Lines
4. Standardization Versus Autonomy
5. Scaling Culture
6. Common Scaling Mistakes
7. When to Break Into Separate Companies

Chapter 21: Product Management in Different Contexts

1. Startups Versus Scale-Ups Versus Enterprises
2. B2B Versus B2C Versus B2B2C
3. SaaS Product Management
4. Marketplace Product Management
5. Platform and API Product Management
6. Mobile Product Management
7. Hardware and Embedded Product Management

Chapter 22: Modern Challenges: AI, Data, and Responsibility

1. Product Management for AI-Native Products
2. Data Products and Data Platforms
3. Responsible Product Development and Ethics
4. Privacy, Security, and Trust as Product Features
5. Regulatory Landscape and Compliance
6. AI as a Tool for Product Management
7. The Future of Product Management

Chapter 23: Conclusion: The Product Leader’s Mindset

1. The Core Principles, Restated
2. How to Think When You Are Stuck
3. Building Judgment Over Time
4. Continuing to Learn
5. The Product Leader’s Responsibility

References